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Skills Required

ai developer design development retrieval cutting api integration model openai latency engineering test workflow orchestration data indexing governance compliance versioning monitoring security collaboration ml python aws containerization docker communication leadership

Work Mode

On-site

Job Type

Full Time

Job Description

Job Title:

AI Engineer – Developer

Experience:

4 to 9 Years (Minimum 2+ Years in LLM/Agentic Systems)

Location:

Gurugram / Bangalore

- Hybrid

Role Overview

We are seeking talented

AI Engineers

to lead the design, development, and delivery of

LLM-powered, agentic AI solutions

with robust

Retrieval-Augmentation-Generation (RAG) pipelines

and cutting-edge

prompt engineering

practices. You will work closely with cross-functional teams to build scalable, secure, and production-ready AI systems.

Key Responsibilities

  • Generative AI & RAG Development: Design, implement, and optimize RAG architectures (Retrieval, Augmentation, Generation) for production use cases.
  • LLM API Integration: Integrate and fine-tune large language model APIs (OpenAI, FILxGPT, etc.) for scalable, low-latency services.
  • Prompt Engineering: Craft, test, and refine high-impact prompts, chains, and templates to optimize LLM outputs.
  • Agentic Workflow Orchestration: Architect AI agents that combine retrieval, LLM generation, and external tool integrations.
  • End-to-End AI Pipelines: Build systems covering data ingestion, embedding/indexing, hybrid retrieval, grounded generation, and result delivery.
  • Model Governance & Compliance: Implement model versioning, monitoring, bias detection, and security audits.
  • Collaboration & Mentorship: Work with product teams, guide junior developers, and ensure AI best practices across projects.

Required Qualifications

  • Experience:
    • 4–9 years in AI/ML engineering.
    • Minimum 2 years building LLM or agentic AI systems in production.
  • Technical Expertise:
    • Strong knowledge of prompt engineering and RAG architectures.
    • Proficiency in Python and vector databases (e.g., Pinecone, FAISS, Weaviate).
    • Hands-on experience with cloud platforms (AWS preferred).
    • Experience in containerization (Docker) and orchestration (Kubernetes).
    • Familiarity with CI/CD pipelines for AI deployments.
  • Soft Skills:
    • Strong communication skills with the ability to explain complex AI concepts to diverse audiences.
    • Leadership and mentorship experience for Senior Developer roles.

Preferred Skills

  • Experience with multi-modal AI systems (text, image, speech).
  • Knowledge of LangChain, LlamaIndex, or similar frameworks.
  • Exposure to MLOps and AI monitoring tools.

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